Parametric and Nonparametric Signal Detection Measures: Pros and Cons
C. Marlin Brown
Abstract
C. Marlin Brown
Abstract
Parametric measures of signal detection sensitivity (d') and response criterion (β) require somewhat restrictive distributional assumptions. Nonparametric analogs are available with no distributional assumptions. This paper describes several signal detection measures, discussing the advantages and limitations of each. A concurrent analysis of parametric and nonparametric estimates in a signal detection experiment is presented to demonstrate relationships and intercorrelations among the measures.
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Parametric measures of signal detection sensitivity (d') and response criterion (β) require somewhat restrictive distributional assumptions. Nonparametric analogs are available with no distributional assumptions. This paper describes several signal detection measures, discussing the advantages and limitations of each. A concurrent analysis of parametric and nonparametric estimates in a signal detection experiment is presented to demonstrate relationships and intercorrelations among the measures.
Key concepts: Nonparametric statistics, Parametric statistics, SIGNAL (programming language), Detection theory, Sensitivity (control systems), Computer science, Econometrics, Signal processing